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Engineering and manufacturing industries

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Dynamic Simulation of the SLOWPOKE-3 Nuclear Heating Reactor

Article Abstract:

A 2 MWth nuclear reactor, called SLOWPOKE-3 (Safe LOW-POwer Critical Experiment), is being developed at the Chalk River Nuclear Laboratories (CRNL). This pool-type reactor is cooled by natural circulation and is designed to produce hot water for commercial space heating and perhaps generate some electricity. It is intended for remote locations where the costs of alternative forms of energy are high. A dynamic simulation of this reactor, without closed-loop control, was developed and implemented on a hybrid computer, using the basic equations of reactor kinetics and of conservation of mass, energy and momentum. The natural circulation of downcomer flow in the pool was simulated using a special filter, capable of modeling various flow conditions. The simulation was then used to study the intermediate and long-term transient response of SLOWPOKE-3 to large disturbances, such as loss of heat sink, loss of regulation, daily load following, and overcooling of the reactor coolant. Results of the simulation show that the reactor is inherently stable and self-regulating and that none of these disturbances produce hazardous transients.

Author: Tseng. C.M., Lepp, R.M.
Publisher: Sage Publications, Inc.
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1985
Nuclear power plants, Electric power plants, Models, Simulation, Energy, Power Plants, Flow Rate

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A Zero-One Stochastic Programming Model for Personnel Scheduling Solved by a Sequential Simulation Procedure

Article Abstract:

A sequential simulation procedure (which requires shorter computer running time than a nonsequential one) is an effective method for solving stochastic personnel scheduling models. The time needed for a particular employee to perform a given activity is assumed to be a random number with a given distribution.

Author: Levary, R.R.
Publisher: Sage Publications, Inc.
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1984
Personnel Management, Stochastic Model, Simulation Theory, Methods, Scheduling Applications, Sequential Programming

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